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Diagnosing COVID-19 From Chest CT Scan Images Using Deep Learning Models
A novel coronavirus named COVID-19 has spread speedily and has triggered a worldwide outbreak of respiratory illness. Early diagnosis is always crucial for pandemic control. Compared to RT-PCR, chest computed tomography (CT)...
Bayesian Inference in Nonparametric Dynamic State-Space Models
We introduce state-space models where the functionals of the observational and the evolutionary equations are unknown, and treated as random functions evolving with time. Thus, our model is nonparametric and generalizes the...
Bayesian Inference in Nonparametric Dynamic State-Space Models
We introduce state-space models where the functionals of the observational and the evolutionary equations are unknown, and treated as random functions evolving with time. Thus, our model is nonparametric and generalizes the...
Decoding Customer Opinion for Products or Brands Using Social Media Analytics
This study uses aspect-level sentiment analysis using lexicon-based approach to analyse online reviews of an Indian brand called Patanjali, which sells many FMCG products under its name. These reviews have been collected from...
From Infection to Immunity
BACKGROUND: Immune system conditions of the patient is a key factor in COVID-19 infection survival. A growing number of studies have focused on immunological determinants to develop better biomarkers for therapies. AIM: Studies...
From Infection to Immunity
Background: Immune system conditions of the patient is a key factor in COVID-19 infection survival. A growing number of studies have focused on immunological determinants to develop better biomarkers for therapies. Aim: Studies...
SACRED
Collaborative research is an opportunity to bring creative minds together and blend multiple disciplines to churn out innovative solutions. In this era of massive social media and information overload, a streamlined process...
Aerodynamics and motor control of ultrasonic vocalizations for social communication in mice and rats.
BACKGROUND: Rodent ultrasonic vocalizations (USVs) are crucial to their social communication and a widely used translational tool for linking gene mutations to behavior. To maximize the causal interpretation of experimental...
Humor Detection
Manan Jain
Jan 01, 0001
Humor is a very complex characteristic concept that defines us as human beings and social entities. Humor is an essential component in personal communication. How to create a method or model to discover the structures behind...
Aerodynamics and motor control of ultrasonic vocalizations for social communication in mice and rats.
BACKGROUND: Rodent ultrasonic vocalizations (USVs) are crucial to their social communication and a widely used translational tool for linking gene mutations to behavior. To maximize the causal interpretation of experimental...
Innovation and entrepreneurship in India
J Prabhu, S Jain
Jan 15, 2016
In this paper, we use the term jugaad to describe the frugal, flexible, and inclusive approach to innovation and entrepreneurship emerging from India. We articulate why this method is appropriate within the Indian context and...
ET-traps offer a potential therapeutic tool for use in different autoimmune diseases.
Research shows that endothelin (ET)-traps are a potential therapy for diabetes. Given that type 1 diabetes mellitus (T1DM) is an autoimmune disorder, ET-traps could also have an efficacious, therapeutic effect on other...
3-D Inorganic Crystal Structure Generation and Property Prediction via Representation Learning
Generative models have been successfully used to synthesize completely novel images, text, music and speech. As such, they present an exciting opportunity for the design of new materials for functional applications. So far...
A Deadline-Constrained Time-Cost-Effective Salp Swarm Algorithm for Resource Optimization in Cloud Computing
Nowadays, Cloud Computing has become the most attractive platform, which provides anything as a Service (XaaS). Many applications may be developed and run on the cloud without worrying about platforms. It is a big challenge to...
Knowledge-Infused Text Classification for the Biomedical Domain
Extracting knowledge from unstructured text and then classifying it is gaining importance after the data explosion on the web. The traditional text classification approaches are becoming ubiquitous, but the hybrid of semantic...
Sup_Ont
A domain-independent conceptual model that aims to be highly reusable across specific domain applications is provided by upper-level ontologies which usually describe abstract concepts. In this paper, the authors proposed...
Influence of bidding mechanism and spot market characteristics on market power of a large genco using hybrid DE/BBO
P. Jain, R. Bhakar, S. Singh
Sep 01, 2015

Generation company (Genco) bidding in an electricity market (EM) aims to maximize its profit under uncertain market characteristics and a regulated bidding mechanism. This paper addresses the strategic bidding for a large...

Multinational Enterprises and the Governance of Sustainability Practices in Emerging Market Supply Chains
Advanced economy multinational enterprises (AMNEs) face idiosyncratic challenges related to the governance of their sustainability practices in their emerging market supply chains. One way for AMNEs to address these challenges...
Models for Efficient Utilization of Resources for Upgrading Android Mobile Technology
The need of the customers to be connected to the network at all times has led to the evolution of mobile technology. Operating systems play a vitol role when we talk of technology. Nowadays, Android is one of the popularly used...
A Novel Hybrid Approach for Chronic Disease Classification
A two-phase diagnostic framework based on hybrid classification for the diagnosis of chronic disease is proposed. In the first phase, feature selection via ReliefF method and feature extraction via PCA method are incorporated....
Analyzing Linguistic Features for Answer Re-Ranking of Why-Questions
Why-type non-factoid questions are ambiguous and involve variations in their answers. A challenge in returning one appropriate answer to user requires the process of appropriate answer extraction, re-ranking and validation....
Software Effort Estimation Development From Neural Networks to Deep Learning Approaches
Software Engineering is a branch of computers that includes the development of structured software applications. Estimation is a significant measure of software engineering projects, and the skill to yield correct effort...
Language-Agnostic Knowledge Representation for a Truly Multilingual Semantic Web
As the Internet users’ communities and the information on the web are increasing exponentially, that too associated with a wide range of different cultures and languages; meaningful search in a multilingual setting is required....

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